Job Information
Amazon Machine Learning Engineer, Robotic Storage Technologies - Simulation & Machine Learning in North Reading, Massachusetts
Description
Robotic Storage Technologies (RST) is growing a team with Machine Learning (ML) expertise as we transform Amazon's warehousing solutions through the power of Artificial Intelligence (AI). The team owns robotic storage solutions driven by thousands of mobile drive units. We are seeking enthusiastic Software Development Engineers who are passionate about exploring the use of ML-based allocation services to accelerate the rate at which customer orders can be fulfilled through always-optimal performance in dynamic production environments.
The ideal candidate has experience developing and supporting production cloud-based applications. They either bring expertise or passion to learn the tools and best practices that streamline the process of taking machine learning models from development to production and beyond. They are enthusiastic learnings who thrive working in a diverse team environment. If you are excited by the opportunity to work on ambiguous problems and to deliver big customer impact, then this is the role for you.
If you are not sure that every qualification in the lists below describe you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Key job responsibilities
Specific areas of focus include (but are not limited too):
Work closely with scientists to design, develop, deploy, monitor, and continually improve ML-backed services.
Help the team explore bold new ideas through development of custom simulations.
Adapt patterns creating standardization and reuse across new an existing services.
Leverage the latest and greatest in AWS Infrastructure As Code (IAC) to speed time to first deployment for new applications.
Collaborate with engineers from partner teams to solve challenging problems.
Communicate effectively with your manager, with local and remote teams, verbally and in writing.
A day in the life
Amazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
This is a growing team of software development engineers and scientists building expertise in simulation and machine learning. The team researches, develops, and maintains machine learning models that drive optimal allocation decisions in production automated storage and retrieval solutions within Amazon warehouses. We are developing best-in-class MLOps capabilities with scale.
Basic Qualifications
3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
Machine Learning experience
Preferred Qualifications
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Master's degree or equivalent
Experience developing and maintaining Machine Learning infrastructure such as feature store, model store, training & deployment pipelines, and monitoring.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.